def current(cls):
""" Obtain the current game state """
user = User.current()
user_id = None if user is None else user.id()
if not user_id:
# No game state found
return None
if user_id in Game._cache:
return Game._cache[user_id]
# No game in cache: attempt to find one in the database
uuid = GameModel.find_live_game(user_id)
if uuid is None:
# Not found in persistent storage: create a new game
return cls.new(user.nickname())
# Load from persistent storage
return cls.load(uuid, user.nickname())
def admin_fetchgames():
""" Return a JSON representation of all finished games """
q = GameModel.query(GameModel.over == True).order(GameModel.ts_last_move)
gamelist = []
for gm in q.fetch():
gamelist.append(dict(
id = gm.key.id(),
ts = Alphabet.format_timestamp(gm.timestamp),
lm = Alphabet.format_timestamp(gm.ts_last_move or gm.timestamp),
p0 = None if gm.player0 is None else gm.player0.id(),
p1 = None if gm.player1 is None else gm.player1.id(),
rl = gm.robot_level,
s0 = gm.score0,
s1 = gm.score1,
pr = gm.prefs
))
return jsonify(gamelist = gamelist)
def admin_fetchgames():
""" Return a JSON representation of all finished games """
# noinspection PyPep8
q = GameModel.query(GameModel.over == True).order(GameModel.ts_last_move)
gamelist = []
for gm in q.fetch():
gamelist.append(
dict(id=gm.key.id(),
ts=Alphabet.format_timestamp(gm.timestamp),
lm=Alphabet.format_timestamp(gm.ts_last_move or gm.timestamp),
p0=None if gm.player0 is None else gm.player0.id(),
p1=None if gm.player1 is None else gm.player1.id(),
rl=gm.robot_level,
s0=gm.score0,
s1=gm.score1,
pr=gm.prefs))
return jsonify(gamelist=gamelist)
def _store_locked(self):
""" Store the game after having acquired the object lock """
assert self.uuid is not None
gm = GameModel(id = self.uuid)
gm.timestamp = self.timestamp
gm.ts_last_move = self.ts_last_move
gm.set_player(0, self.player_ids[0])
gm.set_player(1, self.player_ids[1])
gm.irack0 = self.initial_racks[0]
gm.irack1 = self.initial_racks[1]
gm.rack0 = self.state.rack(0)
gm.rack1 = self.state.rack(1)
gm.over = self.is_over()
sc = self.final_scores() # Includes adjustments if game is over
gm.score0 = sc[0]
gm.score1 = sc[1]
gm.to_move = len(self.moves) % 2
gm.robot_level = self.robot_level
gm.prefs = self._preferences
tile_count = 0
movelist = []
best_word = [None, None]
best_word_score = [0, 0]
player = 0
for m in self.moves:
mm = MoveModel()
coord, tiles, score = m.move.summary(self.state.board())
if coord:
# Regular move: count the tiles actually laid down
tile_count += m.move.num_covers()
# Keep track of best words laid down by each player
if score > best_word_score[player]:
best_word_score[player] = score
best_word[player] = tiles
mm.coord = coord
mm.tiles = tiles
mm.score = score
mm.rack = m.rack
mm.timestamp = m.ts
movelist.append(mm)
player = 1 - player
gm.moves = movelist
gm.tile_count = tile_count
# Update the database entity
gm.put()
# Storing a game that is now over: update the player statistics as well
if self.is_over():
pid_0 = self.player_ids[0]
pid_1 = self.player_ids[1]
u0 = User.load(pid_0) if pid_0 else None
u1 = User.load(pid_1) if pid_1 else None
if u0:
mod_0 = u0.adjust_highest_score(sc[0], self.uuid)
mod_0 |= u0.adjust_best_word(best_word[0], best_word_score[0], self.uuid)
if mod_0:
# Modified: store the updated user entity
u0.update()
if u1:
mod_1 = u1.adjust_highest_score(sc[1], self.uuid)
mod_1 |= u1.adjust_best_word(best_word[1], best_word_score[1], self.uuid)
if mod_1:
# Modified: store the updated user entity
u1.update()
def _load_locked(cls, uuid, use_cache = True):
""" Load an existing game from cache or persistent storage under lock """
gm = GameModel.fetch(uuid, use_cache)
if gm is None:
# A game with this uuid is not found in the database: give up
return None
# Initialize a new Game instance with a pre-existing uuid
game = cls(uuid)
# Set the timestamps
game.timestamp = gm.timestamp
game.ts_last_move = gm.ts_last_move
if game.ts_last_move is None:
# If no last move timestamp, default to the start of the game
game.ts_last_move = game.timestamp
# Initialize the preferences
game._preferences = gm.prefs
# Initialize a fresh, empty state with no tiles drawn into the racks
game.state = State(drawtiles = False)
# A player_id of None means that the player is an autoplayer (robot)
game.player_ids[0] = None if gm.player0 is None else gm.player0.id()
game.player_ids[1] = None if gm.player1 is None else gm.player1.id()
game.robot_level = gm.robot_level
# Load the initial racks
game.initial_racks[0] = gm.irack0
game.initial_racks[1] = gm.irack1
# Load the current racks
game.state.set_rack(0, gm.rack0)
game.state.set_rack(1, gm.rack1)
# Process the moves
player = 0
# mx = 0 # Move counter for debugging/logging
for mm in gm.moves:
# mx += 1
# logging.info(u"Game move {0} tiles '{3}' score is {1}:{2}".format(mx, game.state._scores[0], game.state._scores[1], mm.tiles).encode("latin-1"))
m = None
if mm.coord:
# Normal tile move
# Decode the coordinate: A15 = horizontal, 15A = vertical
if mm.coord[0] in Board.ROWIDS:
row = Board.ROWIDS.index(mm.coord[0])
col = int(mm.coord[1:]) - 1
horiz = True
else:
row = Board.ROWIDS.index(mm.coord[-1])
col = int(mm.coord[0:-1]) - 1
horiz = False
# The tiles string may contain wildcards followed by their meaning
# Remove the ? marks to get the "plain" word formed
if mm.tiles is not None:
m = Move(mm.tiles.replace(u'?', u''), row, col, horiz)
m.make_covers(game.state.board(), mm.tiles)
elif mm.tiles[0:4] == u"EXCH":
# Exchange move
m = ExchangeMove(mm.tiles[5:])
elif mm.tiles == u"PASS":
# Pass move
m = PassMove()
elif mm.tiles == u"RSGN":
# Game resigned
m = ResignMove(- mm.score)
assert m is not None
if m:
# Do a "shallow apply" of the move, which updates
# the board and internal state variables but does
# not modify the bag or the racks
game.state.apply_move(m, True)
# Append to the move history
game.moves.append(MoveTuple(player, m, mm.rack, mm.timestamp))
player = 1 - player
# Find out what tiles are now in the bag
game.state.recalc_bag()
# Account for the final tiles in the rack and overtime, if any
if game.is_over():
game.finalize_score()
if not gm.over:
# The game was not marked as over when we loaded it from
# the datastore, but it is over now. One of the players must
# have lost on overtime. We need to update the persistent state.
game._store_locked()
return game
def _run_stats(from_time, to_time):
""" Runs a process to update user statistics and Elo ratings """
logging.info(u"Generating stats from {0} to {1}".format(from_time, to_time))
if from_time is None or to_time is None:
# Time range must be specified
return
if from_time >= to_time:
# Null time range
return
# Iterate over all finished games within the time span in temporal order
q = GameModel.query(GameModel.over == True).order(GameModel.ts_last_move) \
.filter(GameModel.ts_last_move > from_time) \
.filter(GameModel.ts_last_move <= to_time)
# The accumulated user statistics
users = dict()
def _init_stat(user_id, robot_level):
""" Returns the newest StatsModel instance available for the given user """
return StatsModel.newest_before(from_time, user_id, robot_level)
cnt = 0
ts_last_processed = None
try:
# Use i as a progress counter
for i, gm in enumerate(q):
ts = Alphabet.format_timestamp(gm.timestamp)
lm = Alphabet.format_timestamp(gm.ts_last_move or gm.timestamp)
p0 = None if gm.player0 is None else gm.player0.id()
p1 = None if gm.player1 is None else gm.player1.id()
robot_game = (p0 is None) or (p1 is None)
if robot_game:
rl = gm.robot_level
else:
rl = 0
s0 = gm.score0
s1 = gm.score1
if (s0 == 0) and (s1 == 0):
# When a game ends by resigning immediately,
# make sure that the weaker player
# doesn't get Elo points for a draw; in fact,
# ignore such a game altogether in the statistics
continue
if p0 is None:
k0 = "robot-" + str(rl)
else:
k0 = p0
if p1 is None:
k1 = "robot-" + str(rl)
else:
k1 = p1
if k0 in users:
urec0 = users[k0]
else:
users[k0] = urec0 = _init_stat(p0, rl if p0 is None else 0)
if k1 in users:
urec1 = users[k1]
else:
users[k1] = urec1 = _init_stat(p1, rl if p1 is None else 0)
# Number of games played
urec0.games += 1
urec1.games += 1
if not robot_game:
urec0.human_games += 1
urec1.human_games += 1
# Total scores
urec0.score += s0
urec1.score += s1
urec0.score_against += s1
urec1.score_against += s0
if not robot_game:
urec0.human_score += s0
urec1.human_score += s1
urec0.human_score_against += s1
urec1.human_score_against += s0
# Wins and losses
if s0 > s1:
urec0.wins += 1
urec1.losses += 1
elif s1 > s0:
urec1.wins += 1
urec0.losses += 1
if not robot_game:
if s0 > s1:
urec0.human_wins += 1
urec1.human_losses += 1
elif s1 > s0:
urec1.human_wins += 1
urec0.human_losses += 1
# Find out whether players are established or beginners
est0 = urec0.games > ESTABLISHED_MARK
est1 = urec1.games > ESTABLISHED_MARK
# Save the Elo point state used in the calculation
gm.elo0, gm.elo1 = urec0.elo, urec1.elo
# Compute the Elo points of both players
adj = _compute_elo((urec0.elo, urec1.elo), s0, s1, est0, est1)
# When an established player is playing a beginning (provisional) player,
# leave the Elo score of the established player unchanged
# Adjust player 0
if est0 and not est1:
adj = (0, adj[1])
gm.elo0_adj = adj[0]
urec0.elo += adj[0]
# Adjust player 1
if est1 and not est0:
adj = (adj[0], 0)
gm.elo1_adj = adj[1]
urec1.elo += adj[1]
# If not a robot game, compute the human-only Elo
if not robot_game:
gm.human_elo0, gm.human_elo1 = urec0.human_elo, urec1.human_elo
adj = _compute_elo((urec0.human_elo, urec1.human_elo), s0, s1, est0, est1)
# Adjust player 0
if est0 and not est1:
adj = (0, adj[1])
gm.human_elo0_adj = adj[0]
urec0.human_elo += adj[0]
# Adjust player 1
if est1 and not est0:
adj = (adj[0], 0)
gm.human_elo1_adj = adj[1]
urec1.human_elo += adj[1]
# Save the game object with the new Elo adjustment statistics
gm.put()
# Save the last processed timestamp
ts_last_processed = lm
cnt += 1
# Report on our progress
if (i + 1) % 1000 == 0:
logging.info(u"Processed {0} games".format(i + 1))
except DeadlineExceededError as ex:
# Hit deadline: save the stuff we already have and
# defer a new task to continue where we left off
logging.info(u"Deadline exceeded in stats loop after {0} games and {1} users"
.format(cnt, len(users)))
logging.info(u"Resuming from timestamp {0}".format(ts_last_processed))
if ts_last_processed is not None:
_write_stats(ts_last_processed, users)
deferred.defer(deferred_stats,
from_time = ts_last_processed or from_time, to_time = to_time)
# Normal return prevents this task from being run again
return
except Exception as ex:
logging.info(u"Exception in stats loop: {0}".format(ex))
# Avoid having the task retried
raise deferred.PermanentTaskFailure()
# Completed without incident
logging.info(u"Normal completion of stats for {1} games and {0} users".format(len(users), cnt))
_write_stats(to_time, users)
def _run_stats(from_time, to_time):
""" Runs a process to update user statistics and Elo ratings """
logging.info(u"Generating stats from {0} to {1}".format(
from_time, to_time))
if from_time is None or to_time is None:
# Time range must be specified
return
if from_time >= to_time:
# Null time range
return
# Iterate over all finished games within the time span in temporal order
q = GameModel.query(ndb.AND(GameModel.ts_last_move > from_time, GameModel.ts_last_move <= to_time)) \
.order(GameModel.ts_last_move) \
.filter(GameModel.over == True)
# The accumulated user statistics
users = dict()
def _init_stat(user_id, robot_level):
""" Returns the newest StatsModel instance available for the given user """
return StatsModel.newest_before(from_time, user_id, robot_level)
cnt = 0
ts_last_processed = None
try:
# Use i as a progress counter
i = 0
for gm in iter_q(q, chunk_size=250):
i += 1
lm = Alphabet.format_timestamp(gm.ts_last_move or gm.timestamp)
p0 = None if gm.player0 is None else gm.player0.id()
p1 = None if gm.player1 is None else gm.player1.id()
robot_game = (p0 is None) or (p1 is None)
if robot_game:
rl = gm.robot_level
else:
rl = 0
s0 = gm.score0
s1 = gm.score1
if (s0 == 0) and (s1 == 0):
# When a game ends by resigning immediately,
# make sure that the weaker player
# doesn't get Elo points for a draw; in fact,
# ignore such a game altogether in the statistics
continue
if p0 is None:
k0 = "robot-" + str(rl)
else:
k0 = p0
if p1 is None:
k1 = "robot-" + str(rl)
else:
k1 = p1
if k0 in users:
urec0 = users[k0]
else:
users[k0] = urec0 = _init_stat(p0, rl if p0 is None else 0)
if k1 in users:
urec1 = users[k1]
else:
users[k1] = urec1 = _init_stat(p1, rl if p1 is None else 0)
# Number of games played
urec0.games += 1
urec1.games += 1
if not robot_game:
urec0.human_games += 1
urec1.human_games += 1
# Total scores
urec0.score += s0
urec1.score += s1
urec0.score_against += s1
urec1.score_against += s0
if not robot_game:
urec0.human_score += s0
urec1.human_score += s1
urec0.human_score_against += s1
urec1.human_score_against += s0
# Wins and losses
if s0 > s1:
urec0.wins += 1
urec1.losses += 1
elif s1 > s0:
urec1.wins += 1
urec0.losses += 1
if not robot_game:
if s0 > s1:
urec0.human_wins += 1
urec1.human_losses += 1
elif s1 > s0:
urec1.human_wins += 1
urec0.human_losses += 1
# Find out whether players are established or beginners
est0 = urec0.games > ESTABLISHED_MARK
est1 = urec1.games > ESTABLISHED_MARK
# Save the Elo point state used in the calculation
gm.elo0, gm.elo1 = urec0.elo, urec1.elo
# Compute the Elo points of both players
adj = _compute_elo((urec0.elo, urec1.elo), s0, s1, est0, est1)
# When an established player is playing a beginning (provisional) player,
# leave the Elo score of the established player unchanged
# Adjust player 0
if est0 and not est1:
adj = (0, adj[1])
gm.elo0_adj = adj[0]
urec0.elo += adj[0]
# Adjust player 1
if est1 and not est0:
adj = (adj[0], 0)
gm.elo1_adj = adj[1]
urec1.elo += adj[1]
# If not a robot game, compute the human-only Elo
if not robot_game:
gm.human_elo0, gm.human_elo1 = urec0.human_elo, urec1.human_elo
adj = _compute_elo((urec0.human_elo, urec1.human_elo), s0, s1,
est0, est1)
# Adjust player 0
if est0 and not est1:
adj = (0, adj[1])
gm.human_elo0_adj = adj[0]
urec0.human_elo += adj[0]
# Adjust player 1
if est1 and not est0:
adj = (adj[0], 0)
gm.human_elo1_adj = adj[1]
urec1.human_elo += adj[1]
# Save the game object with the new Elo adjustment statistics
gm.put()
# Save the last processed timestamp
ts_last_processed = lm
cnt += 1
# Report on our progress
if i % 1000 == 0:
logging.info(u"Processed {0} games".format(i))
except DeadlineExceededError as ex:
# Hit deadline: save the stuff we already have and
# defer a new task to continue where we left off
logging.info(
u"Deadline exceeded in stats loop after {0} games and {1} users".
format(cnt, len(users)))
logging.info(u"Resuming from timestamp {0}".format(ts_last_processed))
if ts_last_processed is not None:
_write_stats(ts_last_processed, users)
deferred.defer(deferred_stats,
from_time=ts_last_processed or from_time,
to_time=to_time)
# Normal return prevents this task from being run again
return
except Exception as ex:
logging.info(u"Exception in stats loop: {0}".format(ex))
# Avoid having the task retried
raise deferred.PermanentTaskFailure()
# Completed without incident
logging.info(
u"Normal completion of stats for {1} games and {0} users".format(
len(users), cnt))
_write_stats(to_time, users)
def store(self):
""" Store the game state in persistent storage """
assert self.uuid is not None
user = User.current()
if user is None:
# No current user: can't store game
assert False
return
gm = GameModel(id = self.uuid)
gm.set_player(self.player_index, user.id())
gm.set_player(1 - self.player_index, None)
gm.rack0 = self.state._racks[0].contents()
gm.rack1 = self.state._racks[1].contents()
gm.score0 = self.state.scores()[0]
gm.score1 = self.state.scores()[1]
gm.to_move = len(self.moves) % 2
gm.over = self.state.is_game_over()
movelist = []
for player, m in self.moves:
mm = MoveModel()
coord, tiles, score = m.summary(self.state.board())
mm.coord = coord
mm.tiles = tiles
mm.score = score
movelist.append(mm)
gm.moves = movelist
gm.put()
def load(cls, uuid, username):
""" Load an already existing game from persistent storage """
gm = GameModel.fetch(uuid)
if gm is None:
# A game with this uuid is not found in the database: give up
return None
# Initialize a new Game instance with a pre-existing uuid
game = cls(uuid)
game.username = username
game.state = State(drawtiles = False)
if gm.player0 is None:
# Player 0 is an Autoplayer
game.player_index = 1 # Human (local) player is 1
else:
assert gm.player1 is None
game.player_index = 0 # Human (local) player is 0
game.state.set_player_name(game.player_index, username)
game.state.set_player_name(1 - game.player_index, u"Netskrafl")
# Load the current racks
game.state._racks[0].set_tiles(gm.rack0)
game.state._racks[1].set_tiles(gm.rack1)
# Process the moves
player = 0
for mm in gm.moves:
m = None
if mm.coord:
# Normal tile move
# Decode the coordinate: A15 = horizontal, 15A = vertical
if mm.coord[0] in Board.ROWIDS:
row = Board.ROWIDS.index(mm.coord[0])
col = int(mm.coord[1:]) - 1
horiz = True
else:
row = Board.ROWIDS.index(mm.coord[-1])
col = int(mm.coord[0:-1]) - 1
horiz = False
# The tiles string may contain wildcards followed by their meaning
# Remove the ? marks to get the "plain" word formed
m = Move(mm.tiles.replace(u'?', u''), row, col, horiz)
m.make_covers(game.state.board(), mm.tiles)
elif mm.tiles[0:4] == u"EXCH":
# Exchange move
m = ExchangeMove(mm.tiles[5:])
elif mm.tiles == u"PASS":
# Pass move
m = PassMove()
elif mm.tiles == u"RSGN":
# Game resigned
m = ResignMove(- mm.score)
assert m is not None
if m:
# Do a "shallow apply" of the move, which updates
# the board and internal state variables but does
# not modify the bag or the racks
game.state.apply_move(m, True)
# Append to the move history
game.moves.append((player, m))
player = 1 - player
# If the moves were correctly applied, the scores should match
assert game.state._scores[0] == gm.score0
assert game.state._scores[1] == gm.score1
# Find out what tiles are now in the bag
game.state.recalc_bag()
# Cache the game so it can be looked up by user id
user = User.current()
if user is not None:
Game._cache[user.id()] = game
return game
def _store_locked(self):
""" Store the game after having acquired the object lock """
assert self.uuid is not None
gm = GameModel(id=self.uuid)
gm.timestamp = self.timestamp
gm.ts_last_move = self.ts_last_move
gm.set_player(0, self.player_ids[0])
gm.set_player(1, self.player_ids[1])
gm.irack0 = self.initial_racks[0]
gm.irack1 = self.initial_racks[1]
gm.rack0 = self.state.rack(0)
gm.rack1 = self.state.rack(1)
gm.over = self.is_over()
sc = self.final_scores() # Includes adjustments if game is over
gm.score0 = sc[0]
gm.score1 = sc[1]
gm.to_move = len(self.moves) % 2
gm.robot_level = self.robot_level
gm.prefs = self._preferences
tile_count = 0
movelist = []
best_word = [None, None]
best_word_score = [0, 0]
player = 0
for m in self.moves:
mm = MoveModel()
coord, tiles, score = m.move.summary(self.state)
if coord:
# Regular move: count the tiles actually laid down
tile_count += m.move.num_covers()
# Keep track of best words laid down by each player
if score > best_word_score[player]:
best_word_score[player] = score
best_word[player] = tiles
mm.coord = coord
mm.tiles = tiles
mm.score = score
mm.rack = m.rack
mm.timestamp = m.ts
movelist.append(mm)
player = 1 - player
gm.moves = movelist
gm.tile_count = tile_count
# Update the database entity
gm.put()
# Storing a game that is now over: update the player statistics as well
if self.is_over():
pid_0 = self.player_ids[0]
pid_1 = self.player_ids[1]
u0 = User.load(pid_0) if pid_0 else None
u1 = User.load(pid_1) if pid_1 else None
if u0:
mod_0 = u0.adjust_highest_score(sc[0], self.uuid)
mod_0 |= u0.adjust_best_word(best_word[0], best_word_score[0],
self.uuid)
if mod_0:
# Modified: store the updated user entity
u0.update()
if u1:
mod_1 = u1.adjust_highest_score(sc[1], self.uuid)
mod_1 |= u1.adjust_best_word(best_word[1], best_word_score[1],
self.uuid)
if mod_1:
# Modified: store the updated user entity
u1.update()
def _load_locked(cls, uuid, use_cache=True):
""" Load an existing game from cache or persistent storage under lock """
gm = GameModel.fetch(uuid, use_cache)
if gm is None:
# A game with this uuid is not found in the database: give up
return None
# Initialize a new Game instance with a pre-existing uuid
game = cls(uuid)
# Set the timestamps
game.timestamp = gm.timestamp
game.ts_last_move = gm.ts_last_move
if game.ts_last_move is None:
# If no last move timestamp, default to the start of the game
game.ts_last_move = game.timestamp
# Initialize the preferences
game._preferences = gm.prefs
# Initialize a fresh, empty state with no tiles drawn into the racks
game.state = State(drawtiles=False, tileset=game.tileset)
# A player_id of None means that the player is an autoplayer (robot)
game.player_ids[0] = None if gm.player0 is None else gm.player0.id()
game.player_ids[1] = None if gm.player1 is None else gm.player1.id()
game.robot_level = gm.robot_level
# Load the initial racks
game.initial_racks[0] = gm.irack0
game.initial_racks[1] = gm.irack1
# Load the current racks
game.state.set_rack(0, gm.rack0)
game.state.set_rack(1, gm.rack1)
# Process the moves
player = 0
# mx = 0 # Move counter for debugging/logging
for mm in gm.moves:
# mx += 1
# logging.info(u"Game move {0} tiles '{3}' score is {1}:{2}".format(mx, game.state._scores[0], game.state._scores[1], mm.tiles).encode("latin-1"))
m = None
if mm.coord:
# Normal tile move
# Decode the coordinate: A15 = horizontal, 15A = vertical
if mm.coord[0] in Board.ROWIDS:
row = Board.ROWIDS.index(mm.coord[0])
col = int(mm.coord[1:]) - 1
horiz = True
else:
row = Board.ROWIDS.index(mm.coord[-1])
col = int(mm.coord[0:-1]) - 1
horiz = False
# The tiles string may contain wildcards followed by their meaning
# Remove the ? marks to get the "plain" word formed
if mm.tiles is not None:
m = Move(mm.tiles.replace(u'?', u''), row, col, horiz)
m.make_covers(game.state.board(), mm.tiles)
elif mm.tiles[0:4] == u"EXCH":
# Exchange move
m = ExchangeMove(mm.tiles[5:])
elif mm.tiles == u"PASS":
# Pass move
m = PassMove()
elif mm.tiles == u"RSGN":
# Game resigned
m = ResignMove(-mm.score)
assert m is not None
if m:
# Do a "shallow apply" of the move, which updates
# the board and internal state variables but does
# not modify the bag or the racks
game.state.apply_move(m, True)
# Append to the move history
game.moves.append(MoveTuple(player, m, mm.rack, mm.timestamp))
player = 1 - player
# Find out what tiles are now in the bag
game.state.recalc_bag()
# Account for the final tiles in the rack and overtime, if any
if game.is_over():
game.finalize_score()
if not gm.over:
# The game was not marked as over when we loaded it from
# the datastore, but it is over now. One of the players must
# have lost on overtime. We need to update the persistent state.
game._store_locked()
return game
